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Block size CNN feature size Mean accuracy Minimum accuracy Iterations required Convergence time (s) 1 × 1 9 73.3 % 50.1 % 35 90.0 3 × 3 9 × 9 = 81 84.6 % 68.0 % 35 87.0 5 × 5 25 × 9 = 225 87.9 % 75.7 % 35 94.3 7 × 7 49 × 9 = 441 89.1 % 74.3 % 25 75.6 9 × 9 81 × 9 = 729 90.0 % 76.2 % 25 101.0 11 × 11 121 × 9 = 1089 89.4 % 71.0 % 25 119.2 Table S1. Impact of input image block size on CNN performance (pixel accuracy), Snapscan image under halogen illumination.

Hyperspectral system trade-offs for illumination, hardware and analysis methods: a case study of seed mix ingredient discrimination